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Construction of Elevator Inspection Quality Evaluation System Based on Big Data

机译:基于大数据的电梯检验质量评价体系的构建

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Elevator inspection information has typical big data characteristics. This paper points out that the elevator inspection data introduces the method of elevator inspection big data analysis. Taking elevator inspection as an example, it lists several kinds of big data analysis methods for inspection data, including the risk points describing the basic information of the elevator, the scanning inspection process and the inspection quality. Based on frequency analysis of active factors, outlier test, quality assessment, correlation analysis. Using big data technology, it can make statistical analysis on the data obtained by elevator inspection, make the inspection situation more intuitive, help the management organization to understand the overall elevator quality and elevator inspection, and build an elevator inspection quality evaluation system to make the work more transparent and management more precise. Find more accurate questions, deeper supervision, and more scientific government decisions.
机译:电梯检查信息具有典型的大数据特征。指出了电梯检验数据引入了电梯检验大数据分析的方法。以电梯检查为例,列举了几种大数据分析数据的分析方法,包括描述电梯基本信息的风险点,扫描检查过程和检查质量。基于活动因素的频率分析,离群值检验,质量评估,相关性分析。利用大数据技术,可以对电梯检查得到的数据进行统计分析,使检查情况更加直观,帮助管理机构了解电梯的整体质量和电梯检查情况,建立电梯检查质量评价体系工作更加透明,管理更加精确。查找更准确的问题,更深入的监督和更科学的政府决策。

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